ArticleAnnals of medicine2026
A simplified nomogram for predicting deep vein thrombosis: development in NHANES and retrospective single-center external validation.
Article in Annals of medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundDeep vein thrombosis (DVT) is a major cardiovascular burden, and existing risk-stratification tools often rely on laboratory biomarkers, limiting their utility in primary care. We developed and externally validated a simplified, laboratory-free nomogram to predict DVT in community settings.
methodsThe model was developed using 39,692 participants from NHANES(2005-2018; self-reported physician-diagnosed DVT) and externally validated in 3,136 hospitalized Chinese patients(2016-2023; ultrasound-confirmed DVT). Predictors were selected by LASSO and fitted using multivariable logistic regression incorporating the NHANES complex survey design. Performance was assessed by AUC, calibration (MAE), and decision curve analysis (DCA).
resultsFour predictors were retained: age, smoking, physical activity, and diabetes. In development, the nomogram showed good discrimination (AUC, 0.816), comparable to XGBoost (0.820). Diabetes (OR, 2.84; 95% CI, 2.36-3.43) and ever-smoking (OR, 2.25; 95% CI, 1.92-2.65) were the strongest predictors. On external validation, discrimination was maintained (AUC, 0.792; 95% CI, 0.768-0.816) with good calibration (MAE, 0.022) and clinical net benefit across thresholds probabilities.
conclusionsThis four-variable nomogram may help identify adults at higher risk of DVT in primary-care settings. It is intended as an exploratory screening aid, not a standalone diagnostic test or for suspected acute DVT. Prospective validation is required before clinical implementation.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.